KUNAL KUMAR CHOUBEY

Java Intern

https://www.opentalent.in/kunal-kumar-choubey

Bhubhaneswar, indiaMember since September 11, 2025

Key Strengths

Academic background in Computer Science & Engineering, providing a theoretical foundation.
Demonstrated interest and foundational exposure to AI/ML through virtual internships and personal projects.
Experience with Python, Machine Learning, and some Java (through a project) as indicated on the resume.
Proactive in pursuing virtual internships and personal projects, showcasing initiative.
The candidate's resume indicates a foundational understanding of Java and related technologies (Swing, JDBC, MySQL) through a project, which aligns with a 'Java Intern' role. However, the 0% score on the technical assessment critically undermines this alignment, suggesting a significant gap between claimed skills/project experience and demonstrable technical ability.

Skill Analysis

General Technical Proficiency

★★★★★

The candidate scored 0% on the technical assessment, indicating a fundamental gap in problem-solving, coding logic, technical accuracy, and practical implementation skills relevant to the role.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Limitations

Demonstrated a complete lack of understanding or ability in problem-solving and coding logic.
Unable to apply technical knowledge for practical implementation.
Failed to provide any technically accurate solutions.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 51% indicates a moderate cultural fit, with specific areas for improvement identified in logical reasoning, work attitude, stress handling, and team collaboration. This score is below the typical expectation for a strong fit within a collaborative and demanding technical environment.

Soft Skills & Operational Fit

The psychometric test score of 51% suggests potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration. While the candidate has completed virtual internships, the operational fit based on these core soft skills is moderate and indicates a need for improvement.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Academic background in Computer Science & Engineering, providing a theoretical foundation.
Demonstrated interest and foundational exposure to AI/ML through virtual internships and personal projects.
Experience with Python, Machine Learning, and some Java (through a project) as indicated on the resume.
Proactive in pursuing virtual internships and personal projects, showcasing initiative.
The candidate's resume indicates a foundational understanding of Java and related technologies (Swing, JDBC, MySQL) through a project, which aligns with a 'Java Intern' role. However, the 0% score on the technical assessment critically undermines this alignment, suggesting a significant gap between claimed skills/project experience and demonstrable technical ability.

Skill Analysis

General Technical Proficiency

★★★★★

The candidate scored 0% on the technical assessment, indicating a fundamental gap in problem-solving, coding logic, technical accuracy, and practical implementation skills relevant to the role.

Problem SolvingCoding LogicTechnical AccuracyPractical Implementation

Limitations

Demonstrated a complete lack of understanding or ability in problem-solving and coding logic.
Unable to apply technical knowledge for practical implementation.
Failed to provide any technically accurate solutions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

KUNAL KUMAR CHOUBEY

Key Strengths

Skill Analysis

General Technical Proficiency

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

General Technical Proficiency

Cultural & Operational Fit